The visualization of a dataset is a collection of visual elements used to communicate the data in a distortion-free manner. While there are many aspects of visually communicating the contents of a dataset, including the choice of colors, domain-specific imagery such as maps, overlays, etc., our work is based on a fairly simple and fundamental premise that one should be able to derive the core statistical features of the underlying dataset accurately from the visualization [1]}, [2]}. Since finding the best visualization is a normative question, we make the following assumptions and later validate them through user studies:
